8 citations · 27 across the 5 of their papers we have counts for
3 papers · 1 filter
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Ian D. Kivlichan, Zi Lin, Jeremiah Liu +1
Content moderation is often performed by a collaboration between humans and machine learning models. However, it is not well understood how to design the collaborative process so a…
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen +2
Unintended bias in Machine Learning can manifest as systemic differences in performance for different demographic groups, potentially compounding existing challenges to fairness in…
Model Cards for Model Reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar +6
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In order to clarify the in…